Instructor & Assistant Instructor - Full Stack · DSA & Core CS · Data Analytics | Alta School of Technology

Location: On-Site

Reporting to: Director of Academics

Roles Available: 30+ Open Positions

ABOUT ALTA SCHOOL OF TECHNOLOGY

Alta School of Technology is building the next generation of engineers, analysts, and systems thinkers. We don't teach theory for the sake of theory - every concept is grounded in real implementation, real systems, and real-world problem solving.

Our curriculum is project-first and deployment-ready. Students leave not just knowing how things work, but having built them.

ABOUT THE ROLES

We are hiring full-time, on-site Instructors and Assistant Instructors across three tracks:

Full Stack Web Development - Instructor & Assistant Instructor

Teach students to architect, build, and ship production-grade web applications end to end from semantic HTML and React on the frontend, to Node.js APIs, PostgreSQL databases, Docker containers, and live cloud deployments. You will instill professional engineering habits: clean code, CI/CD pipelines, secure authentication, and scalable system design.

DSA + Core Computer Science - Instructor & Assistant Instructor

Train students to think like systems engineers. You will go beyond surface-level problem solving teaching data structures and algorithms with depth, guiding students to build a fully functional relational database engine from scratch, and developing deep intuition for OS internals, concurrency, memory management, and distributed systems fundamentals.

Data Analytics - Instructor & Assistant Instructor

Develop structured, data-driven thinkers. You will take students from raw data to actionable insights - covering mathematical foundations, exploratory data analysis, probability and statistics, hypothesis testing, regression modeling, and applied case studies across domains like finance, sports, logistics, and product analytics.

WHAT YOU WILL TEACH

Full Stack

DSA: Arrays, OOP, Trees, Graphs, DP, Heaps, Recursion, Binary Search

Frontend: HTML/CSS, JavaScript (ES6+), React.js, Redux Toolkit, Tailwind CSS, ShadCN

Backend: Node.js, Express, REST API design, JWT, OAuth 2.0, MVC architecture

Databases: PostgreSQL, MongoDB, Prisma, Mongoose, indexing & query optimization

DevOps: Git workflows, GitHub Actions, CI/CD, Docker, Vercel, Railway, AWS basics

Security: OWASP Top 10, XSS, CSRF, SQL injection, secure SDLC

System Design: Caching (Redis), WebSockets, microservices, Core Web Vitals

DSA + Core CS

DSA: Arrays, OOP, Hashmaps, Linked Lists, Stacks, Queues, Trees, Graphs, DP, Heaps, Greedy, Recursion

DBMS Internals: Storage engines, B+ trees, buffer pool, query optimizer, Volcano model

Transactions: ACID, 2PL, MVCC, Write-Ahead Logging, ARIES recovery

Modern Databases: LSM trees, columnar storage, OLTP vs OLAP, RocksDB, DuckDB

OS: Process management, scheduling, concurrency, IPC, virtual memory, file systems

Networks: DNS, socket programming, IP/subnetting, routing, NAT, DHCP

Capstone: Guide students to build a fully functional MiniDB from scratch

Data Analytics

Maths: Discrete Maths, Probability & Statistics, Linear Algebra, Calculus

Data Foundations: Loading, cleaning, and exploratory data analysis

Visualization & Decision Making: Patterns, user behavior, actionable insights

Statistics: Distributions, Bayes theorem, real-world applications

Hypothesis Testing: Validating assumptions using statistical methods

Regression: Linear regression (price prediction), logistic regression (classification)

Product Analytics: Root cause analysis, structured problem-solving, domain case studies

SHARED RESPONSIBILITIES

Design and refine project-heavy labs, assignments, and capstone projects

Evaluate students on code quality, analytical depth, and real-world readiness

Conduct structured code reviews and maintain professional development standards

Lead deep-dive doubt-solving sessions and office hours

Help students build strong debugging skills and engineering instincts

Contribute to improving course structure, content, and assessments

Maintain high academic rigor and a collaborative learning environment

REQUIRED QUALIFICATIONS

Education

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field

Experience

For Instructor roles:

38 years of hands-on industry experience in:

Full-stack or frontend/backend engineering (Full Stack track)

Backend, systems, or database engineering (DSA + Core CS track)

Data analytics, business analytics, or data science (Data Analytics track)

Proven experience building and shipping production-grade systems or analytical solutions

Prior teaching or mentoring experience is a strong plus

For Assistant Instructor roles:

13 years of industry or academic experience

Strong fundamentals in at least one track

Eagerness to teach, mentor, and grow into a lead instructor role

Fresh graduates with exceptional skills are welcome to apply

Technical Skills (Role-Specific)

Full Stack: React.js, Node.js, Express, PostgreSQL, MongoDB, JWT/OAuth, Docker, Next.js, Prisma, Redis, CI/CD, AWS/GCP

DSA + Core CS: Database internals, Java or C++, PostgreSQL, MySQL/InnoDB, LevelDB/RocksDB, low-level systems programming

Data Analytics: Python (pandas, NumPy, matplotlib, seaborn), statistical methods, hypothesis testing, regression modeling

WHAT WE'RE LOOKING FOR (ACROSS ALL ROLES)

Deep domain expertise - you've built real systems, not just studied them

Ability to teach complex concepts in a clear, intuitive, and engaging way

A passion for mentoring early-stage learners and shaping engineering mindsets

Focus on practical, real-world problem solving over theoretical abstraction

High standards for code quality, analytical rigour, and professional craft

A clear growth mindset - Assistant Instructors are expected to grow into lead roles

APPLICATION PROCESS

Shortlisted candidates will go through:

1 Curriculum Design Task - Design a sample module or lesson plan

2 Curriculum Discussion - Deep dive into your submission with our academics team

3 Teaching Round - Live demo session with evaluators

We aim to complete the full process within 2 weeks of shortlisting.

Interested? Fill out our application form below and tell us which role and level you're applying for.

Apply here: https://forms.gle/XkvMdSwNMym6MpdU6

We'd love to hear from you.